Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
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@@ -1,7 +1,4 @@
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#!/usr/bin/env python3
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"""
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Flux - multimodal visual analyzer (Mistral + Gradio)
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"""
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import os
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import subprocess
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@@ -31,17 +28,21 @@ SYSTEM_INSTRUCTION = (
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IMAGE_EXTS = (".jpg", ".jpeg", ".png", ".webp", ".gif")
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VIDEO_EXTS = (".mp4", ".mov", ".webm", ".mkv", ".avi", ".flv")
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def get_client(key: str = None):
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api_key = (key or "").strip() or DEFAULT_KEY
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return Mistral(api_key=api_key)
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def is_remote(src: str) -> bool:
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return bool(src) and src.startswith(("http://", "https://"))
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def ext_from_src(src: str) -> str:
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_, ext = os.path.splitext((src or "").split("?")[0])
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return ext.lower()
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def fetch_bytes(src: str, stream_threshold=STREAM_THRESHOLD, timeout=60) -> bytes:
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if is_remote(src):
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with requests.get(src, timeout=timeout, stream=True) as r:
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@@ -65,12 +66,9 @@ def fetch_bytes(src: str, stream_threshold=STREAM_THRESHOLD, timeout=60) -> byte
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with open(src, "rb") as f:
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return f.read()
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def convert_to_jpeg_bytes(media_bytes: bytes, base_h=480) -> bytes:
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img = Image.open(BytesIO(media_bytes))
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except UnidentifiedImageError:
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raise
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# handle animated GIFs by taking first frame
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try:
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img.seek(0)
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except Exception:
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@@ -84,9 +82,11 @@ def convert_to_jpeg_bytes(media_bytes: bytes, base_h=480) -> bytes:
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img.save(buf, format="JPEG", quality=85)
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return buf.getvalue()
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def b64_jpeg(img_bytes: bytes) -> str:
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return base64.b64encode(img_bytes).decode("utf-8")
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def save_bytes_to_temp(b: bytes, suffix: str):
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fd, path = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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@@ -94,38 +94,32 @@ def save_bytes_to_temp(b: bytes, suffix: str):
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f.write(b)
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return path
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def choose_model_for_src(src: str):
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ext = ext_from_src(src)
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if ext in VIDEO_EXTS:
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return DEFAULT_VIDEO_MODEL
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if ext in IMAGE_EXTS:
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return DEFAULT_IMAGE_MODEL
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return DEFAULT_VIDEO_MODEL if is_remote(src) else DEFAULT_IMAGE_MODEL
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def build_messages_for_image(prompt: str, b64_jpg: str):
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# Use a clear textual message with data URL; Mistral SDK supports structured image objects,
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# but this textual form is broadly compatible.
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content = (
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f"{prompt}\n\nImage (data URI follows):\n\ndata:image/jpeg;base64,{b64_jpg}\n\n"
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"Instruction: Analyze only visible, provided pixels.
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)
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return [
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{"role": "system", "content": SYSTEM_INSTRUCTION},
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{"role": "user", "content": content},
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]
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def build_messages_for_text(prompt: str, extra_text: str):
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return [
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{"role": "system", "content": SYSTEM_INSTRUCTION},
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{"role": "user", "content": f"{prompt}\n\n{extra_text}"},
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]
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def extract_delta(chunk):
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if not chunk:
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return None
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data = getattr(chunk, "data", None) or getattr(chunk, "response", None) or getattr(chunk, "delta", None)
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if not data:
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return None
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try:
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content = data.choices[0].delta.content
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if content is None:
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return str(content)
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except Exception:
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pass
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try:
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c = data.choices[0].delta
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if isinstance(c, dict):
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txt = c.get("content") or c.get("text")
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if txt is None:
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return None
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return str(txt)
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except Exception:
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pass
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try:
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msg = data.choices[0].message
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if isinstance(msg, dict):
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@@ -158,6 +143,105 @@ def extract_delta(chunk):
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except Exception:
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return None
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def generate_final_text(src: str, custom_prompt: str, api_key: str):
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client = get_client(api_key)
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prompt = (custom_prompt.strip() if custom_prompt and custom_prompt.strip() else "Please provide a detailed visual review.")
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except Exception as e:
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parts.append(f"[Model error: {e}]")
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# Image
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if is_image:
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try:
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raw = fetch_bytes(src)
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except Exception as e:
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return f"Error processing image: {e}"
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msgs = build_messages_for_image(prompt, b64)
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stream_and_collect(
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return "".join(parts).strip()
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# Remote video:
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if is_remote(src):
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-
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"
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)
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-
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tmp_media = None
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try:
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media_bytes = fetch_bytes(src)
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_, ext = os.path.splitext(src) if src else ("", ".mp4")
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ext = ext or ".mp4"
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tmp_media = save_bytes_to_temp(media_bytes, suffix=ext)
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t = (duration * i) / (sample_count + 1)
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timestamps.append(t)
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else:
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# fallback fixed offsets
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timestamps = [0.5, 1.0, 2.0][:sample_count]
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# extract frames
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for i, t in enumerate(timestamps):
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fd, tmp_frame = tempfile.mkstemp(suffix=f"_{i}.jpg")
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os.close(fd)
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cmd = [
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ffmpeg, "-nostdin", "-y", "-i", tmp_media,
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"-ss", str(t),
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"-frames:v", "1",
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"-q:v", "2",
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tmp_frame
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]
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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try:
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out, err = proc.communicate(timeout=15)
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except subprocess.TimeoutExpired:
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try:
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proc.kill()
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except Exception:
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pass
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out, err = proc.communicate()
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if proc.returncode == 0 and os.path.exists(tmp_frame) and os.path.getsize(tmp_frame) > 0:
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tmp_frames.append(tmp_frame)
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else:
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try:
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if os.path.exists(tmp_frame):
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os.remove(tmp_frame)
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except Exception:
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pass
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# pick best frame by size (simple heuristic) or first
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chosen = None
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if tmp_frames:
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chosen = max(tmp_frames, key=lambda p: os.path.getsize(p) if os.path.exists(p) else 0)
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with open(chosen, "rb") as f:
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frame_bytes = f.read()
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try:
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jpg = convert_to_jpeg_bytes(frame_bytes, base_h=480)
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b64 = b64_jpeg(jpg)
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msgs = build_messages_for_image(prompt, b64)
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stream_and_collect(choose_model_for_src(src), msgs)
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return "".join(parts).strip()
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finally:
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for fpath in tmp_frames:
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try:
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if os.path.exists(fpath):
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os.remove(fpath)
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except Exception:
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pass
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# no frames extracted
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except Exception:
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pass
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return "Unable to process the provided file. Provide a direct image/frame URL or a remote video URL."
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finally:
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try:
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if tmp_media and os.path.exists(tmp_media):
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except Exception:
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pass
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-
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css = """
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.preview_column { min-width: 380px; }
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.preview_media img, .preview_media video { max-width: 100%; height: auto; }
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except Exception:
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return None, None, "Preview failed"
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with gr.Blocks(title="Flux", css=css) as demo:
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with gr.Row():
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with gr.Column(scale=1, elem_classes="preview_column"):
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#!/usr/bin/env python3
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import os
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import subprocess
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IMAGE_EXTS = (".jpg", ".jpeg", ".png", ".webp", ".gif")
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VIDEO_EXTS = (".mp4", ".mov", ".webm", ".mkv", ".avi", ".flv")
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+
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def get_client(key: str = None):
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api_key = (key or "").strip() or DEFAULT_KEY
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return Mistral(api_key=api_key)
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+
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def is_remote(src: str) -> bool:
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return bool(src) and src.startswith(("http://", "https://"))
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+
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def ext_from_src(src: str) -> str:
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_, ext = os.path.splitext((src or "").split("?")[0])
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return ext.lower()
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+
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def fetch_bytes(src: str, stream_threshold=STREAM_THRESHOLD, timeout=60) -> bytes:
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if is_remote(src):
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with requests.get(src, timeout=timeout, stream=True) as r:
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with open(src, "rb") as f:
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return f.read()
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+
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def convert_to_jpeg_bytes(media_bytes: bytes, base_h=480) -> bytes:
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img = Image.open(BytesIO(media_bytes))
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try:
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img.seek(0)
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except Exception:
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img.save(buf, format="JPEG", quality=85)
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return buf.getvalue()
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+
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def b64_jpeg(img_bytes: bytes) -> str:
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return base64.b64encode(img_bytes).decode("utf-8")
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+
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def save_bytes_to_temp(b: bytes, suffix: str):
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fd, path = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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f.write(b)
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return path
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def build_messages_for_image(prompt: str, b64_jpg: str):
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content = (
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f"{prompt}\n\nImage (data URI follows):\n\ndata:image/jpeg;base64,{b64_jpg}\n\n"
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"Instruction: Analyze only visible, provided pixels."
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)
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return [
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{"role": "system", "content": SYSTEM_INSTRUCTION},
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{"role": "user", "content": content},
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]
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+
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def build_messages_for_text(prompt: str, extra_text: str):
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return [
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{"role": "system", "content": SYSTEM_INSTRUCTION},
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{"role": "user", "content": f"{prompt}\n\n{extra_text}"},
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]
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+
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def extract_delta(chunk):
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if not chunk:
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return None
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data = getattr(chunk, "data", None) or getattr(chunk, "response", None) or getattr(chunk, "delta", None)
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if not data:
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return None
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# try common shapes
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try:
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content = data.choices[0].delta.content
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if content is None:
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return str(content)
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except Exception:
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pass
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try:
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msg = data.choices[0].message
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if isinstance(msg, dict):
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except Exception:
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return None
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+
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def extract_best_frame_bytes(media_path: str, sample_count: int = 5, timeout_probe: int = 10, timeout_extract: int = 15):
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ffmpeg = shutil.which("ffmpeg")
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if not ffmpeg or not os.path.exists(media_path):
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return None
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tmp_frames = []
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try:
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probe_cmd = [ffmpeg, "-v", "error", "-show_entries", "format=duration",
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"-of", "default=noprint_wrappers=1:nokey=1", media_path]
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proc = subprocess.Popen(probe_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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out, _ = proc.communicate(timeout=timeout_probe)
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duration = None
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try:
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duration = float(out.strip().split(b"\n")[0]) if out else None
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except Exception:
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duration = None
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if duration and duration > 0:
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timestamps = [(duration * i) / (sample_count + 1) for i in range(1, sample_count + 1)]
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else:
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| 166 |
+
timestamps = [0.5, 1.0, 2.0][:sample_count]
|
| 167 |
+
|
| 168 |
+
for i, t in enumerate(timestamps):
|
| 169 |
+
fd, tmp_frame = tempfile.mkstemp(suffix=f"_{i}.jpg")
|
| 170 |
+
os.close(fd)
|
| 171 |
+
cmd = [
|
| 172 |
+
ffmpeg, "-nostdin", "-y", "-i", media_path,
|
| 173 |
+
"-ss", str(t),
|
| 174 |
+
"-frames:v", "1",
|
| 175 |
+
"-q:v", "2",
|
| 176 |
+
tmp_frame
|
| 177 |
+
]
|
| 178 |
+
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
| 179 |
+
try:
|
| 180 |
+
proc.communicate(timeout=timeout_extract)
|
| 181 |
+
except subprocess.TimeoutExpired:
|
| 182 |
+
try:
|
| 183 |
+
proc.kill()
|
| 184 |
+
except Exception:
|
| 185 |
+
pass
|
| 186 |
+
proc.communicate()
|
| 187 |
+
if proc.returncode == 0 and os.path.exists(tmp_frame) and os.path.getsize(tmp_frame) > 0:
|
| 188 |
+
tmp_frames.append(tmp_frame)
|
| 189 |
+
else:
|
| 190 |
+
try:
|
| 191 |
+
if os.path.exists(tmp_frame):
|
| 192 |
+
os.remove(tmp_frame)
|
| 193 |
+
except Exception:
|
| 194 |
+
pass
|
| 195 |
+
|
| 196 |
+
if not tmp_frames:
|
| 197 |
+
return None
|
| 198 |
+
|
| 199 |
+
chosen = max(tmp_frames, key=lambda p: os.path.getsize(p) if os.path.exists(p) else 0)
|
| 200 |
+
with open(chosen, "rb") as f:
|
| 201 |
+
data = f.read()
|
| 202 |
+
return data
|
| 203 |
+
finally:
|
| 204 |
+
for fpath in tmp_frames:
|
| 205 |
+
try:
|
| 206 |
+
if os.path.exists(fpath):
|
| 207 |
+
os.remove(fpath)
|
| 208 |
+
except Exception:
|
| 209 |
+
pass
|
| 210 |
+
|
| 211 |
+
|
| 212 |
+
def upload_file_to_mistral(client, path, filename=None, purpose="batch"):
|
| 213 |
+
fname = filename or os.path.basename(path)
|
| 214 |
+
# Try SDK upload
|
| 215 |
+
try:
|
| 216 |
+
with open(path, "rb") as fh:
|
| 217 |
+
res = client.files.upload(file={"file_name": fname, "content": fh}, purpose=purpose)
|
| 218 |
+
# try to extract id
|
| 219 |
+
fid = getattr(res, "id", None) or (res.get("id") if isinstance(res, dict) else None)
|
| 220 |
+
if not fid:
|
| 221 |
+
try:
|
| 222 |
+
fid = res["data"][0]["id"]
|
| 223 |
+
except Exception:
|
| 224 |
+
pass
|
| 225 |
+
if not fid:
|
| 226 |
+
raise RuntimeError(f"No file id returned: {res}")
|
| 227 |
+
return fid
|
| 228 |
+
except Exception:
|
| 229 |
+
# Fallback to HTTP upload
|
| 230 |
+
api_key = client.api_key if hasattr(client, "api_key") else os.getenv("MISTRAL_API_KEY", "")
|
| 231 |
+
url = "https://api.mistral.ai/v1/files"
|
| 232 |
+
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
|
| 233 |
+
with open(path, "rb") as fh:
|
| 234 |
+
files = {"file": (fname, fh)}
|
| 235 |
+
data = {"purpose": purpose}
|
| 236 |
+
r = requests.post(url, headers=headers, files=files, data=data, timeout=120)
|
| 237 |
+
r.raise_for_status()
|
| 238 |
+
jr = r.json()
|
| 239 |
+
fid = jr.get("id") or jr.get("data", [{}])[0].get("id")
|
| 240 |
+
if not fid:
|
| 241 |
+
raise RuntimeError(f"Upload failed to return id: {jr}")
|
| 242 |
+
return fid
|
| 243 |
+
|
| 244 |
+
|
| 245 |
def generate_final_text(src: str, custom_prompt: str, api_key: str):
|
| 246 |
client = get_client(api_key)
|
| 247 |
prompt = (custom_prompt.strip() if custom_prompt and custom_prompt.strip() else "Please provide a detailed visual review.")
|
|
|
|
| 296 |
except Exception as e:
|
| 297 |
parts.append(f"[Model error: {e}]")
|
| 298 |
|
| 299 |
+
# Image path: convert and send
|
| 300 |
if is_image:
|
| 301 |
try:
|
| 302 |
raw = fetch_bytes(src)
|
|
|
|
| 305 |
except Exception as e:
|
| 306 |
return f"Error processing image: {e}"
|
| 307 |
msgs = build_messages_for_image(prompt, b64)
|
| 308 |
+
stream_and_collect(DEFAULT_IMAGE_MODEL, msgs)
|
| 309 |
return "".join(parts).strip()
|
| 310 |
|
| 311 |
+
# Remote video: download, upload to Mistral Files, reference file id in chat
|
| 312 |
if is_remote(src):
|
| 313 |
+
try:
|
| 314 |
+
media_bytes = fetch_bytes(src, timeout=120)
|
| 315 |
+
except Exception as e:
|
| 316 |
+
return f"Error downloading remote media: {e}"
|
| 317 |
+
ext = ext_from_src(src) or ".mp4"
|
| 318 |
+
tmp_media = save_bytes_to_temp(media_bytes, suffix=ext)
|
| 319 |
+
try:
|
| 320 |
+
try:
|
| 321 |
+
file_id = upload_file_to_mistral(client, tmp_media, filename=os.path.basename(src.split("?")[0]))
|
| 322 |
+
except Exception as e:
|
| 323 |
+
# If upload fails, fallback to sending a representative frame
|
| 324 |
+
frame_bytes = extract_best_frame_bytes(tmp_media)
|
| 325 |
+
if not frame_bytes:
|
| 326 |
+
return f"Error uploading to Mistral and no frame fallback available: {e}"
|
| 327 |
+
try:
|
| 328 |
+
jpg = convert_to_jpeg_bytes(frame_bytes, base_h=480)
|
| 329 |
+
except UnidentifiedImageError:
|
| 330 |
+
jpg = frame_bytes
|
| 331 |
+
b64 = b64_jpeg(jpg)
|
| 332 |
+
msgs = build_messages_for_image(prompt, b64)
|
| 333 |
+
stream_and_collect(DEFAULT_VIDEO_MODEL, msgs)
|
| 334 |
+
return "".join(parts).strip()
|
| 335 |
|
| 336 |
+
extra = (
|
| 337 |
+
f"Remote video uploaded to Mistral Files with id: {file_id}\n\n"
|
| 338 |
+
"Instruction: Analyze the video contents using the uploaded file id. Do not invent frames not present."
|
| 339 |
+
)
|
| 340 |
+
msgs = build_messages_for_text(prompt, extra)
|
| 341 |
+
stream_and_collect(DEFAULT_VIDEO_MODEL, msgs)
|
| 342 |
+
return "".join(parts).strip()
|
| 343 |
+
finally:
|
| 344 |
+
try:
|
| 345 |
+
if tmp_media and os.path.exists(tmp_media):
|
| 346 |
+
os.remove(tmp_media)
|
| 347 |
+
except Exception:
|
| 348 |
+
pass
|
| 349 |
+
|
| 350 |
+
# Local video: try upload to Mistral; otherwise fallback to frames
|
| 351 |
tmp_media = None
|
| 352 |
try:
|
| 353 |
media_bytes = fetch_bytes(src)
|
| 354 |
_, ext = os.path.splitext(src) if src else ("", ".mp4")
|
| 355 |
ext = ext or ".mp4"
|
| 356 |
tmp_media = save_bytes_to_temp(media_bytes, suffix=ext)
|
| 357 |
+
try:
|
| 358 |
+
file_id = upload_file_to_mistral(client, tmp_media, filename=os.path.basename(src))
|
| 359 |
+
extra = (
|
| 360 |
+
f"Local video uploaded to Mistral Files with id: {file_id}\n\n"
|
| 361 |
+
"Instruction: Analyze the video contents using the uploaded file id. Do not invent frames not present."
|
| 362 |
+
)
|
| 363 |
+
msgs = build_messages_for_text(prompt, extra)
|
| 364 |
+
stream_and_collect(DEFAULT_VIDEO_MODEL, msgs)
|
| 365 |
+
return "".join(parts).strip()
|
| 366 |
+
except Exception:
|
| 367 |
+
# fallback to extracting a best frame
|
| 368 |
+
frame_bytes = extract_best_frame_bytes(tmp_media)
|
| 369 |
+
if not frame_bytes:
|
| 370 |
+
return "Unable to process the provided file. Provide a direct image/frame URL or a remote video URL."
|
| 371 |
+
jpg = convert_to_jpeg_bytes(frame_bytes, base_h=480)
|
| 372 |
+
b64 = b64_jpeg(jpg)
|
| 373 |
+
msgs = build_messages_for_image(prompt, b64)
|
| 374 |
+
stream_and_collect(DEFAULT_VIDEO_MODEL, msgs)
|
| 375 |
+
return "".join(parts).strip()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 376 |
finally:
|
| 377 |
try:
|
| 378 |
if tmp_media and os.path.exists(tmp_media):
|
|
|
|
| 380 |
except Exception:
|
| 381 |
pass
|
| 382 |
|
| 383 |
+
|
| 384 |
+
# --- Minimal Gradio UI ---
|
| 385 |
css = """
|
| 386 |
.preview_column { min-width: 380px; }
|
| 387 |
.preview_media img, .preview_media video { max-width: 100%; height: auto; }
|
|
|
|
| 402 |
except Exception:
|
| 403 |
return None, None, "Preview failed"
|
| 404 |
|
| 405 |
+
|
| 406 |
with gr.Blocks(title="Flux", css=css) as demo:
|
| 407 |
with gr.Row():
|
| 408 |
with gr.Column(scale=1, elem_classes="preview_column"):
|